Materials Informatics and Optoelectronics Scientist

3 - 7 years

0 Lacs

Posted:5 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

In this role at Schrdinger, a science and technology leader specializing in software solutions for chemical simulations and predictive analyses, you will be an Application-Focused Materials Informatics & Optoelectronics Scientist contributing to the mission of leveraging advanced computational methods to enhance human health and quality of life. Joining the Materials Science team, you will work on diverse projects spanning optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals. As an Application-Focused Materials Informatics & Optoelectronics Scientist at Schrdinger, your key responsibilities will include: - Researching, curating, and analyzing datasets from literature and various sources using advanced techniques such as Large Language Models (LLMs) and Optical Character Recognition (OCR). - Collaborating with domain experts to ensure accuracy and quality of data, particularly related to molecular structures, SMILES strings, and experimental measurements. - Developing and validating predictive machine learning models for OLED devices and other optoelectronic applications. - Communicating results, presenting ideas to the team, developing tools and workflows for integration into commercial software products, and validating existing Schrdinger machine learning products using public or internally generated datasets. Qualifications required for this role are as follows: - Hold a PhD in Chemistry or Materials Science. - Possess hands-on experience in applying machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals. - Familiarity with RDKit, MatMiner, Dscribe, or other informatics packages. - Proficiency in Python programming and debugging. - Knowledge of machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorch. - Experience in extracting datasets using Large Language Models (LLMs) or Optical Character Recognition (OCR) technologies. - Enjoy collaborating with an interdisciplinary team in a fast-paced environment as a specialist in quantum chemistry or materials science.,

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